Server has 4 tools with complete schemas and descriptions. Naming follows verb_noun convention (LIST_ISSUES, GET_ISSUE, CREATE_ISSUE, GET_TOOL_METADATA). All tools have descriptions (194-250 chars, within baseline 34-392 range). Input schemas are well-structured with types and descriptions for all parameters. However, output schemas are not documented in the provided source, critical for LLM planning. Error handling guidance is absent. Parameter descriptions lack actionable constraints (e.g., 'first' param has no min/max guidance despite 'max: 100' comment). CREATE_ISSUE requires node IDs (assigneeIds, labelIds) rather than human-friendly names, forcing extra lookup calls and violating natural-identifier pattern.

• Document output schemas for all tools. Example for GET_ISSUE: 'Returns {id: number, title: string, body: string, state: string, assignees: [{login: string, id: string}], labels: [{name: string, id: string}], createdAt: string, updatedAt: string}'.
• Replace node ID parameters in CREATE_ISSUE with human-friendly alternatives: accept assignee_names (array of strings) and label_names (array of strings), resolve them to node IDs server-side. Provide a separate tool (GET_ASSIGNEES, GET_LABELS) for discovery if needed.
• Add min/max constraints to parameter descriptions, not just comments. Change 'first' description to: 'Number of issues to fetch (1-100, default: 20)'. LLMs parse description text, not JSON Schema constraints.
• Add error recovery hints to tool descriptions. E.g., CREATE_ISSUE: 'If assignee not found, call LIST_ISSUES with assignee filter to verify username exists.'
• Implement optional dry_run parameter for CREATE_ISSUE: 'If true, validate inputs and return a preview without creating the issue. Agents can confirm before executing.'